Matches in SemOpenAlex for { <https://semopenalex.org/work/W4252256752> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W4252256752 abstract "Abstract. Accurate prediction of groundwater table is important for the efficient management of groundwater resources. Despite being the most widely used tools for depicting the hydrological regime, numerical models suffer from formidable constraints, such as extensive data demanding, high computational cost and inevitable parameter uncertainty. Artificial neural networks (ANNs), in contrast, can make predictions on the basis of more easily accessible variables, rather than requiring explicit characterization of the physical systems and prior knowledge of the physical parameters. This study applies ANN to predict the groundwater table in a swamp forest of Singapore. A standard multilayer perceptron (MLP) is selected, trained with the Levenberg–Marquardt (LM) algorithm. The inputs to the network are solely the surrounding reservoir levels and rainfall. The results reveal that ANN is able to produce accurate forecast with a leading time up to 7 days, whereas the performance slightly decreases when leading time increases." @default.
- W4252256752 created "2022-05-12" @default.
- W4252256752 creator A5015516349 @default.
- W4252256752 creator A5022609455 @default.
- W4252256752 creator A5028253456 @default.
- W4252256752 creator A5080248151 @default.
- W4252256752 date "2015-09-10" @default.
- W4252256752 modified "2023-09-29" @default.
- W4252256752 title "Technical Note: Application of artificial neural networks in groundwater table forecasting – a case study in Singapore swamp forest" @default.
- W4252256752 cites W1517615694 @default.
- W4252256752 cites W1849454363 @default.
- W4252256752 cites W1964166287 @default.
- W4252256752 cites W1994686217 @default.
- W4252256752 cites W1996150433 @default.
- W4252256752 cites W1998442441 @default.
- W4252256752 cites W2001676017 @default.
- W4252256752 cites W2039581585 @default.
- W4252256752 cites W2040870580 @default.
- W4252256752 cites W2041534329 @default.
- W4252256752 cites W2045276361 @default.
- W4252256752 cites W2056364562 @default.
- W4252256752 cites W2057493632 @default.
- W4252256752 cites W2078063144 @default.
- W4252256752 cites W2087070363 @default.
- W4252256752 cites W2121508650 @default.
- W4252256752 cites W2133550891 @default.
- W4252256752 cites W2137983211 @default.
- W4252256752 cites W2256578114 @default.
- W4252256752 doi "https://doi.org/10.5194/hessd-12-9317-2015" @default.
- W4252256752 hasPublicationYear "2015" @default.
- W4252256752 type Work @default.
- W4252256752 citedByCount "1" @default.
- W4252256752 countsByYear W42522567522016 @default.
- W4252256752 crossrefType "posted-content" @default.
- W4252256752 hasAuthorship W4252256752A5015516349 @default.
- W4252256752 hasAuthorship W4252256752A5022609455 @default.
- W4252256752 hasAuthorship W4252256752A5028253456 @default.
- W4252256752 hasAuthorship W4252256752A5080248151 @default.
- W4252256752 hasBestOaLocation W42522567521 @default.
- W4252256752 hasConcept C119857082 @default.
- W4252256752 hasConcept C124101348 @default.
- W4252256752 hasConcept C127413603 @default.
- W4252256752 hasConcept C154945302 @default.
- W4252256752 hasConcept C179717631 @default.
- W4252256752 hasConcept C187320778 @default.
- W4252256752 hasConcept C18903297 @default.
- W4252256752 hasConcept C39769621 @default.
- W4252256752 hasConcept C41008148 @default.
- W4252256752 hasConcept C45235069 @default.
- W4252256752 hasConcept C50644808 @default.
- W4252256752 hasConcept C76177295 @default.
- W4252256752 hasConcept C76886044 @default.
- W4252256752 hasConcept C79414745 @default.
- W4252256752 hasConcept C86803240 @default.
- W4252256752 hasConceptScore W4252256752C119857082 @default.
- W4252256752 hasConceptScore W4252256752C124101348 @default.
- W4252256752 hasConceptScore W4252256752C127413603 @default.
- W4252256752 hasConceptScore W4252256752C154945302 @default.
- W4252256752 hasConceptScore W4252256752C179717631 @default.
- W4252256752 hasConceptScore W4252256752C187320778 @default.
- W4252256752 hasConceptScore W4252256752C18903297 @default.
- W4252256752 hasConceptScore W4252256752C39769621 @default.
- W4252256752 hasConceptScore W4252256752C41008148 @default.
- W4252256752 hasConceptScore W4252256752C45235069 @default.
- W4252256752 hasConceptScore W4252256752C50644808 @default.
- W4252256752 hasConceptScore W4252256752C76177295 @default.
- W4252256752 hasConceptScore W4252256752C76886044 @default.
- W4252256752 hasConceptScore W4252256752C79414745 @default.
- W4252256752 hasConceptScore W4252256752C86803240 @default.
- W4252256752 hasLocation W42522567521 @default.
- W4252256752 hasLocation W42522567522 @default.
- W4252256752 hasOpenAccess W4252256752 @default.
- W4252256752 hasPrimaryLocation W42522567521 @default.
- W4252256752 hasRelatedWork W13536281 @default.
- W4252256752 hasRelatedWork W1383942 @default.
- W4252256752 hasRelatedWork W17650898 @default.
- W4252256752 hasRelatedWork W18886619 @default.
- W4252256752 hasRelatedWork W2701911 @default.
- W4252256752 hasRelatedWork W349990 @default.
- W4252256752 hasRelatedWork W4771408 @default.
- W4252256752 hasRelatedWork W482721 @default.
- W4252256752 hasRelatedWork W16836940 @default.
- W4252256752 hasRelatedWork W17985158 @default.
- W4252256752 isParatext "false" @default.
- W4252256752 isRetracted "false" @default.
- W4252256752 workType "article" @default.